Literature DB >> 19064508

Modeling weight-loss maintenance to help prevent body weight regain.

Kevin D Hall1, Peter N Jordan.   

Abstract

BACKGROUND: Lifestyle intervention can successfully induce weight loss in obese persons, at least temporarily. However, there currently is no way to quantitatively estimate the changes of diet or physical activity required to prevent weight regain. Such a tool would be helpful for goal-setting, because obese patients and their physicians could assess at the outset of an intervention whether long-term adherence to the calculated lifestyle change is realistic.
OBJECTIVE: We aimed to calculate the expected change of steady-state body weight arising from a given change in dietary energy intake and, conversely, to calculate the modification of energy intake required to maintain a particular body-weight change.
DESIGN: We developed a mathematical model using data from 8 longitudinal weight-loss studies representing 157 subjects with initial body weights ranging from 68 to 160 kg and stable weight losses between 7 and 54 kg.
RESULTS: Model calculations closely matched the change data (R(2) = 0.83, chi(2) = 2.1, P < 0.01 for weight changes; R(2) = 0.91, chi(2) = 0.87, P < 0.0004 for energy intake changes). Our model performed significantly better than the previous models for which chi(2) values were 10-fold those of our model. The model also accurately predicted the proportion of weight change resulting from the loss of body fat (R(2) = 0.90).
CONCLUSIONS: Our model provides realistic calculations of body-weight change and of the dietary modifications required for weight-loss maintenance. Because the model was implemented by using standard spreadsheet software, it can be widely used by physicians and weight-management professionals.

Entities:  

Mesh:

Year:  2008        PMID: 19064508     DOI: 10.3945/ajcn.2008.26333

Source DB:  PubMed          Journal:  Am J Clin Nutr        ISSN: 0002-9165            Impact factor:   7.045


  44 in total

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Authors:  Diana M Thomas; Jesus E Navarro-Barrientos; Daniel E Rivera; Steven B Heymsfield; Carl Bredlau; Leanne M Redman; Corby K Martin; Sally A Lederman; Linda M Collins; Nancy F Butte
Journal:  Am J Clin Nutr       Date:  2011-12-14       Impact factor: 7.045

Review 2.  Simulation models of obesity: a review of the literature and implications for research and policy.

Authors:  D T Levy; P L Mabry; Y C Wang; S Gortmaker; T T-K Huang; T Marsh; M Moodie; B Swinburn
Journal:  Obes Rev       Date:  2010-10-26       Impact factor: 9.213

3.  Cost Effectiveness of Subsidizing Fruit and Vegetable Purchases Through the Supplemental Nutrition Assistance Program.

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4.  Estimating the quantitative relation between food energy intake and changes in body weight.

Authors:  Kevin D Hall; Carson C Chow
Journal:  Am J Clin Nutr       Date:  2010-01-13       Impact factor: 7.045

5.  A dynamical model for describing behavioural interventions for weight loss and body composition change.

Authors:  J-Emeterio Navarro-Barrientos; Daniel E Rivera; Linda M Collins
Journal:  Math Comput Model Dyn Syst       Date:  2011-01-12       Impact factor: 0.945

6.  Short and long-term energy intake patterns and their implications for human body weight regulation.

Authors:  Carson C Chow; Kevin D Hall
Journal:  Physiol Behav       Date:  2014-02-28

7.  A mathematical model of weight change with adaptation.

Authors:  Diana M Thomas; Ashley Ciesla; James A Levine; John G Stevens; Corby K Martin
Journal:  Math Biosci Eng       Date:  2009-10       Impact factor: 2.080

8.  Predicting metabolic adaptation, body weight change, and energy intake in humans.

Authors:  Kevin D Hall
Journal:  Am J Physiol Endocrinol Metab       Date:  2009-11-24       Impact factor: 4.310

Review 9.  Nutritional systems biology modeling: from molecular mechanisms to physiology.

Authors:  Albert A de Graaf; Andreas P Freidig; Baukje De Roos; Neema Jamshidi; Matthias Heinemann; Johan A C Rullmann; Kevin D Hall; Martin Adiels; Ben van Ommen
Journal:  PLoS Comput Biol       Date:  2009-11-26       Impact factor: 4.475

10.  The progressive increase of food waste in America and its environmental impact.

Authors:  Kevin D Hall; Juen Guo; Michael Dore; Carson C Chow
Journal:  PLoS One       Date:  2009-11-25       Impact factor: 3.240

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